Add documents
Batch add text-based documents (PDF, DOCX, TXT, MD) and choose where redacted TXT outputs should be saved.
Fully offline: no cloud, no telemetry, no automatic updates.
Make it easy for your staff to remove PII before using AI on sensitive docs.
Local PII Redaction is a Windows desktop app for batch redacting personal and sensitive data before documents are shared, emailed, or used with commercial AI tools.
Original
Student Amira Patel submitted evidence from Chatsworth Medical Centre on 12 April 2026.
Redacted
Student [NAME_1] submitted evidence from [ORGANISATION_1] on [DATE_1].
100% local processingDocuments stay on the device.
Offline desktop appNo sign-in or vendor service needed.
Custom profilesRedact only the categories needed.
PII detection tuned for universitiesTeaching, research, legal, and operations workflows.
The reality data governance professionals face
Your staff are already using commercial AI tools whether you like it or not.
Universities can tell staff not to paste personal data into third-party AI tools, but the practical workload still exists: summarising cases, rewriting communications, labelling documents, transcripts, contracts etc.
The Local PII Redaction desktop app gives staff a lightning-fast and intuitive step before that happens. The overwhelming principle behind the creation of this app is to make it as easy and quick as possible for employees to do the right thing.
How it works
Three steps between sensitive documents and safer AI use.
Choose a profile
Use Strict for maximum caution, or create custom category profiles for teaching, research, legal, HR, or operational tasks. Custom profiles are saved locally for each user's instance of the app.
Redact locally
The local redaction engine redacts selected PII categories on the desktop. No document text is sent anywhere, and you can verify this by using the app while your internet connection is switched off.
Demo
Real-time demo and screenshots
If the embedded player is blocked in local preview, watch the demo on YouTube.
Local-processing assurance
Designed so IT can verify the claim themselves.
No network required in use
The intended deployment model has no sign-in, no telemetry, no cloud activation, no auto-update, and no runtime network calls.
Firewall-testable
IT teams can block outbound access for the app and engine executables and confirm redaction still works.
Offline licence file
Annual licences are supplied as signed local files, with deployment scope managed by the client.
Manual updates
Updates are delivered as signed installers for IT-managed rollout, never automated.
Current full-app evaluation
High accuracy across PII categories
Leak rate by selected PII category
Lower is betterInternal evaluation run on 6,000 labelled synthetic ground truth examples from a 56k dataset, using the exact same local app process users have. The app also allows custom exact terms and regex patterns for awkward local requirements, for example ambiguous organisation names that are also everyday words.
GDPR-aligned workflows
Help staff do the right thing before data leaves their control.
Local PII Redaction is designed to support practical data minimisation and disclosure-risk reduction before staff use AI tools, external services, or email workflows.
Founding customer pricing
Simple annual offline licences for university teams.
Department
GBP 1,500/year
Up to 50 users.
Faculty
GBP 6,000/year
Up to 250 users.
Institution
GBP 18,000/year
Up to 1,000 users.
Campus
GBP 30,000/year
Unlimited internal deployment.
For data governance divisions
Make GDPR compliance easy for your employees.
For demos, pilot discussions, or university deployment questions, email lee@automager.co.uk.